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ai architect genai llms ai agents

Oracle

<div>Qualifications &amp; Experience
<ul><li>8+ years of total experience, with 4+ years in AI/ML Engineering roles.
</li><li>Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
</li><li>Proven track record in Generative AI, LLMs, NLP, and AI agent development.
</li><li>Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
</li><li>Experience fine-tuning LLMs for domain-specific applications (e.g., Q&amp;A systems, auto-documentation, predictive insights).
</li><li>Hands-on experience building, scaling, and optimizing AI systems on OCI, with knowledge of hybrid/multi-cloud architectures.
</li><li>Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
</li><li>Familiar with MLOps, model governance, and CI/CD for ML workflows.</li></ul></div>
 <div>Key Responsibilities
<ul><li>Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
</li><li>Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
</li><li>Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
</li><li>Mentor teams on solution design, best practices, and delivery excellence for AI projects.
</li><li>Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
</li><li>Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
</li><li>Lead solution estimation, technical governance, and program oversight.
</li><li>Contribute to GTM initiatives, including customer-facing demos and proposal development.
</li><li>Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.
</li>Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement. 
<li>
</li></ul><div></div>Core Competencies &amp; Technical Expertise
<ul><li>Enterprise Architecture &amp; AI Strategy
</li><li>Application Development (with focus on integrating AI into existing stacks)
</li><li>Multi-cloud &amp; Distributed Architecture (OCI expertise is a must; experience with AWS, Azure, or GCP also valuable)
</li><li>AI/ML Security &amp; Compliance
</li><li>DevOps &amp; Agile AI Delivery
</li><li>Integration &amp; Data Engineering Strategy
</li><li>Stakeholder Engagement &ndash; including Executive Leadership
</li><li>Program Oversight &amp; Governance
</li><li>Solution Design, Proposals, and Estimates
</li><li>Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage.</li></ul></div>

AI Architect – GenAI, LLMs & AI Agents

Principal AI Architect – GenAI, LLMs & AI Agents

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 The Mission
 
 
 
 We believe the transformative potential of AI is significantly under-realised in our region. To bridge this gap, we are incubating a new division within Careem dedicated to Enterprise AI Transformation.
 
 
 We are reimagining and building the future of work to simplify and improve how businesses function in the era of GenAI with WorkOS: a next-generation &lsquo;operating system&rsquo; designed to deploy, orchestrate, and improve AI agents across every customer and operational journey (and increasingly autonomously). This isn&rsquo;t just automation; it&rsquo;s about creating a hybrid workforce where self-learning AI agents handle the heavy lifting, empowering our people to focus on the highest-value, most creative work.
 
 
 
 The Team
 
 
 
 This group operates as a startup within Careem with a distinct mandate: move fast, build boldly, and deliver production-grade AI systems that fundamentally change how the region leverages technology.
 
 
 
 The Opportunity
 
 
 
 We are looking for an exceptional founding Full-Stack Engineer to build the WorkOS platform. This is a role for a systems-thinker who wants to work at the intersection of high-scale distributed systems and AI orchestration. You will be responsible for building the "brain" of WorkOS, the engine that deploys and manages autonomous agents across the region&rsquo;s most complex operational journeys at massive scale.
 
 
 As one of the first engineers in WorkOS, you will have a disproportionate impact on our technical foundation, culture, and the speed at which we move from 0 to 1
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Architect and Build the WorkOS Engine: Design and build the scalable backend services and frontend architectures required to orchestrate complex AI workflows and real-time data streaming.
 </li>
 <li>
 Define AI-Human Interaction: Partner with Design and Customers to create intuitive interfaces for "agentic" work, moving beyond static forms into dynamic, canvas-based, or generative UI powered by robust APIs.
 </li>
 <li>
 Full-Cycle Ownership: Own the lifecycle of the platform, from rapid prototyping of new agent capabilities to maintaining production-grade systems at enterprise scale.
 </li>
 <li>
 Drive AI-Accelerated Engineering: Constantly experiment with AI-assisted development to move faster than traditional teams, while maintaining a bar for superb technical quality and craft.
 </li>
 <li>
 Lead Pioneer Deployments: While building the core platform, you will occasionally lead the charge on first-of-their-kind implementations for strategic partners, ensuring our tech solves real-world operational complexity.
 </li>
 <li>
 Operate with High Agency: In this lean, startup-style environment, you will be responsible for outcomes over inputs, rolling your sleeves up to code and balancing investments in the long-term technical roadmap with the need to ship value quickly.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 8&ndash;12+ years of professional full-stack engineering experience: with a track record of acting as a technical lead or founding engineer in high-growth environments.
 </li>
 <li>
 Mastery of the modern stack: Deep expertise in frontend frameworks (React/TypeScript) paired with strong experience in backend languages (Node.js, Python, or Go) and distributed systems.
 </li>
 <li>
 AI-Native engineering mindset: Hands-on experience integrating LLMs, managing real-time streaming data, and building/consuming agentic frameworks and RAG architectures.
 </li>
 <li>
 End-to-End Architecture Skills: The ability to design modular, "platform-first" systems, from database schema and API design to reusable UI components.
 </li>
 <li>
 Obsession with Craft and Performance: A specialist's eye for creating fluid, "instant" user experiences and the backend efficiency required to support them.
 </li>
 <li>
 Startup-level Autonomy: Comfortable navigating a "0-to-1" environment where you define the technical roadmap and ship high-quality code without a playbook.
 </li>
 <li>
 Willingness to work on-site full time in UAE, to foster the high-intensity collaboration required for this incubation phase.
 </li>
 <li>
 Experience with enterprise software transformation or legacy system integration is a significant plus.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Receive
 
 
 
 <ul>
 <li>
 A Blank Canvas and Live Ammunition: The rare opportunity to build a "0-to-1" product while immediately deploying it into the real-world operations of a regional giant. No "sandbox" projects here, you&rsquo;ll be shipping code that moves people and goods on day one. This is a huge opportunity to create impact in our region.
 </li>
 <li>
 Architecting the Engine: We&rsquo;re a lean, impact-obsessed team operating with total autonomy. You&rsquo;ll be free from corporate bureaucracy and legacy baggage, focused entirely on building the core orchestration layer and agentic frameworks that will serve as the "brain" of the region&rsquo;s enterprises.
 </li>
 <li>
 Direct Collaboration with Leadership: Direct engagement with Careem and enterprise client leadership, in addition to working side-by-side with the WorkOS founding team including Magnus Olsson (Careem&rsquo;s original Co-founder).
 </li>
 <li>
 Competitive Compensation: Including direct equity in this new division. Our philosophy is meritocratic: we want you to own a meaningful stake in the value you create.
 </li>
 </ul>
</div>

Staff Full Stack Engineer

OneBullEx

<div><div>OneBullEx is transitioning into an AI exchange. As an AI Engineer in our Data &amp; AI department, you will not just manage tools; you will architect the autonomous systems that power our trading ecosystem. You will be responsible for deploying AI agents that can reason, execute code, and manage complex financial workflows with minimal human intervention.</div>
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li><div>Agentic System Development: Architect and deploy multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen to automate exchange operations (e.g., automated risk assessment, fraud detection, and 24/7 liquidity monitoring).</div>
</li><li><div>AI-Driven Software Engineering: Champion the use of Claude Code, OpenAI Codex, and Cursor to build and refactor exchange infrastructure. You are expected to use these tools to achieve a &quot;10x developer&quot; output, maintaining high-performance C++ or Python backends.</div>
</li><li><div>Protocol &amp; API Integration: Implement the Model Context Protocol (MCP) to allow AI agents to securely interact with our internal trading engines, real-time market data feeds, and third-party DeFi protocols.</div>
</li><li><div>Prompt Engineering &amp; Logic Tuning: Design sophisticated &quot;Chain-of-Thought&quot; and &quot;Plan-and-Execute&quot; reasoning paths to ensure agents remain reliable during high-volatility events in the crypto market.</div>
</li><li><div>Internal Tooling: Build custom internal AI dashboards that allow other departments (Risk, Ops, BD, Marketing etc.) to spin up their own specialized &quot;micro-agents&quot; for specific tasks.</div>
</li></ul><h3 class="jobSectionHeader">Candidate Requirements</h3>
<h4 class="jobSectionHeader">Technical Skills (The &quot;Must-Haves&quot;)</h4>
<ul><li><div>Latest AI Tooling: Deep, hands-on experience with Claude Code, Codex, and AI-native IDEs like Cursor.</div>
</li><li><div>Agentic Frameworks: Proven ability to build autonomous agents using LangGraph, AutoAgent, or Semantic Kernel.</div>
</li><li><div>Advanced Prompting: Mastery of ReAct, Few-Shot, and System Persona optimization to reduce hallucination in financial contexts.</div>
</li><li><div>Programming: Proficiency in Python (specifically for AI/ML libraries) and an understanding of Rust or Go (for high-frequency exchange environments).</div>
</li></ul><h4 class="jobSectionHeader">Preferred Background</h4>
<ul><li><div>Crypto/FinTech: Familiarity with futures trading, perpetuals, or blockchain data structures (Web3.js, Ethers.js).</div>
</li><li><div>Security First: Experience in &quot;Red Teaming&quot; AI agents to ensure they cannot be manipulated into unauthorized withdrawals or data leaks.</div>
</li><li><div>Education: Bachelor's or Master's in Computer Science, Mathematics, or a related quantitative field.</div>
</li></ul><h3 class="jobSectionHeader">The OneBullEx &quot;Edge&quot;</h3>
<ul><li><div>AI-Native Environment: We don't just use AI to write emails; we use it to run the exchange. You will have the freedom to experiment with the latest models (Gemini 3, GPT-5, Claude 4.5+) as they launch.</div>
</li><li><div>Competitive Package: Top-tier salary, performance bonuses tied to automation efficiency, and full relocation to the crypto-friendly hub of Dubai.</div>
</li><li><div>Remote Flexibility: While we have a core team in Dubai, we are open to elite talent working remotely in compatible time zones.</div></li></ul></div>

AI Engineer

Marcura

<div>The Managed Port Calls team requires a Staff AI Engineer to drive AI innovation across our Marcura platform. This role exists to architect and deliver AI-powered features that enhance operational efficiency, predictive capabilities, and decision-making for stakeholders.
The role is hands-on execution&mdash;building production-grade AI systems, mentoring engineers on AI/ML best practices, and selecting appropriate technologies and frameworks. Working closely with product, backend, and data teams, you'll embed intelligence throughout the platform while ensuring our AI solutions are scalable, reliable, and deliver measurable business value.
Sample use cases that the role will require to build and manage:
<ul><li>Convert manual processes to fully automated processes</li>
<li>Partially automate processes when full automation is not achievable</li>
<li>Help improve efficiency for both operations team and customers</li>
<li>Reduce the amount of manual (especially repetitive) work mainly for operations team</li>
<li>Predict answers to questions based on an existing historical knowledge base</li>
<li>Predict costs based on historical knowledge</li>
<li>Chat bot style task automation</li>
</ul>
Requirements<ul><li>
Bachelor's Degree in Information Technology, Data Science, Machine Learning/AI, Computer Science or other relevant fields</li><li>
Minimum of 8 years of experience in relevant fields including data science and AI
</li></ul>Machine Learning &amp; AI:<ul>
<li>
Experience with LLMs and building AI agents using frameworks like LangChain, LangGraph, and LangSmith
</li><li>Hands-on experience with prompt engineering, RAG (Retrieval-Augmented Generation), and LLM orchestration</li>
<li>Knowledge of AI agent design patterns: reasoning, planning, tool use, and memory management</li>
<li>Proven experience designing, training, and deploying ML models in production environments</li>
<li>Understanding of ML fundamentals and MLOps practices: model versioning, monitoring, CI/CD pipelines</li>
<li>Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).</li>
</ul>
Programming:<ul>
<li>
Strong coding skills in languages such as Python,
</li><li>Good to have programming experience in Java,</li>
<li>Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).</li>
</ul>
Cloud Computing:<ul><li>
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI models. [Azure is the preference]</li></ul>
Software Development:<ul>
<li>
Understanding of software development life cycle (SDLC) and agile methodologies.</li>
<li>Experience with version control systems (e.g., Git).</li>
</ul>
Data Analysis:<ul><li>
Ability to analyze and interpret complex datasets.</li></ul>
Problem-Solving:<ul>
<li>
Strong analytical thinking to identify and solve operational inefficiencies.</li>
<li>Ability to design and implement AI-driven solutions.</li>
</ul>
Communication:<ul>
<li>
Ability to explain complex technical concepts to non-technical stakeholders.</li>
<li>Strong written and verbal communication skills.</li>
</ul>
Collaboration:<ul>
<li>
Experience working in cross-functional teams.</li>
<li>Ability to collaborate with other developers, data scientists, and business analysts.</li>
</ul>
Benefits<ul>
<li>
Competitive Salary and Bonus: We reward your expertise and contributions.</li>
<li>Inclusive Onboarding Experience: Our onboarding program is designed to set you up for success right from day one.</li>
<li>Marcura Wellness Zone: We value your work-life balance and well-being.</li>
<li>Global Opportunities: Be part of an ambitious, expanding company with a local touch.</li>
<li>Diverse, Supportive Work Culture: We&rsquo;re committed to inclusion, diversity, and a sense of belonging for all team members.</li></ul></div>

Generative AI Solutions Engineer

<div>OneBullEx is transitioning into an AI-driven exchange. / OneBullEx 正在转型为一家 AI 驱动的交易所。

As a Staff Data Architect, you are the master designer of the nervous system that feeds our AI. / 作为资深数据架构师，你是构建 AI 底层神经系统的核心总设计师。

You won't just manage databases; you will architect the autonomous data structures required for AI agents to reason, execute, and manage complex financial workflows. / 你不仅仅是管理数据库，更要构建自动化数据结构，以支持 AI 智能体进行推理、执行并管理复杂的金融工作流。

Your mission is to bridge the gap between raw Crypto market behaviors and the &quot;Single Source of Truth&quot; that powers our autonomous trading ecosystem. / 你的使命是消除原始加密市场行为与支撑自动化交易生态的&quot;唯一事实来源&quot;之间的鸿沟。

<h3 class="jobSectionHeader">Core Responsibilities / 核心职责</h3>
<h4 class="jobSectionHeader">1. Instrumentation &amp; Tracking / 全链路采集与埋点</h4>
<ul>
<li>Protocol Design: Define unified tracking standards across App/Web/H5. 
协议设计： 统一 App/Web/H5 全平台的埋点标准。
</li>
<li>Design high-dimensional protocols for unique Crypto interactions (e.g., K-line scaling, leverage slider adjustments).
 
针对加密货币特有的交互（如 K 线缩放、杠杆滑块调节）设计高维度协议。
</li>
<li>Full-Link Attribution: Ensure a seamless data path from external acquisition (KOLs, Ads) through KYC to first trade conversion. 
全链路归因： 确保从外部获客（KOL、广告）到 KYC 再到首次交易转化的数据链路无断点。
</li>
<li>Quality Control: Establish automated validation to eliminate &quot;missing or inconsistent&quot; data, ensuring absolute raw data purity for AI training. 
质量管控： 建立自动化校验机制以消除&quot;漏报或口径不一&quot;的数据，确保 AI 训练原始数据的绝对纯净。
</li>
</ul><h4 class="jobSectionHeader">2. All-Domain Logical Modeling / 全链路逻辑建模</h4>
<ul>
<li>Trading &amp; Assets: Unify Spot and Futures logic. 
交易与资产： 统一现货与合约的业务逻辑。
</li>
<li>Design multi-currency and sub-account reconciliation models. / 设计多币种及子母账户的对账模型。
</li>
<li>Growth &amp; ROI: Build refined models linking frontend behavior with backend flows for end-to-end ROI analysis. 
增长与 ROI： 构建精细化模型，联通前端行为与后端流水以实现端到端 ROI 分析。
</li>
<li>Risk &amp; Compliance: Design logical layers for real-time exposure monitoring and bot/wash-trading detection. 
风控与合规： 设计实时敞口监控及机器人刷量行为检测的逻辑层。
</li>
</ul><h4 class="jobSectionHeader">3. Governance &amp; Single Source of Truth / 统一指标与治理</h4>
<ul>
<li>Metric Store: Lead the company-wide Metric Store to ensure DAU, AUM, and Volume are consistent across all AI agents and dashboards. 
指标中心： 主导公司级指标库建设，确保 DAU、AUM 和交易额在所有 AI 智能体和看板中口径一致。
</li>
<li>Data Lineage: Build systems to track data origin, ensuring any schema changes are instantly evaluated for downstream impact. 
数据血缘： 构建追踪数据来源的系统，确保任何表结构变更都能即时评估对下游的影响。
</li>
</ul><h4 class="jobSectionHeader">4. AI-Driven Automation / AI 驱动自动化</h4>
<ul>
<li>Code-as-Model: Use AI to accelerate SQL writing and tracking-code generation. 
代码即模型： 利用 AI 加速 SQL 编写和埋点代码生成。
</li>
<li>Autonomous Governance: Implement &quot;AI to govern AI data&quot; frameworks to maintain model documentation in real-time. 
自主治理： 实施&quot;以 AI 治理 AI 数据&quot;的框架，实时维护模型文档。
</li>
</ul><h3 class="jobSectionHeader">Candidate Requirements / 任职要求</h3>
<ul>
<li>Crypto Expertise (Mandatory): 3+ years in CEX/DEX environments. 
行业经验（硬性）： 3 年以上 CEX/DEX 环境经验。
</li>
<li>You must understand trading engine logs and on-chain data.
 
你必须深入理解交易引擎日志和链上数据。
</li>
<li>Master Modeler: 5+ years of Kimball dimensional modeling. 
建模专家： 5 年以上 Kimball 维度建模经验。
</li>
<li>Expert in handling billion-row snapshot tables and cold/hot data separation.
 
精通处理亿级快照表及冷热数据分离。
</li>
<li>Tracking Veteran: Expert-level experience with Sensors Data, Amplitude, or Mixpanel. 
埋点老兵： 具备神策数据、Amplitude 或 Mixpanel 的专家级经验。
</li>
<li>AI Native: Proficiency in AI coding tools and a forward-thinking mindset on how LLMs interact with structured data. 
AI 原生： 熟练使用 AI 编码工具，并对大模型如何与结构化数据交互具有前瞻性思维。
</li>
<li>Resilience: Ability to maintain data integrity during extreme market volatility. 
抗压能力： 能够在市场剧烈波动期间保持数据的完整性与准确性。</li></ul></div>

Staff Data Architect / 资深数据架构师

<div>Core Competencies &amp; Skills
<ul><li>Storytelling: Excellent communication and executive engagement skills; ability to simplify data lakehouse and AI concepts for CxOs.
</li><li>Technology Breadth: Strong background in database, integrations, and analytics (Oracle Database and Data Integration platforms, Oracle Analytics Cloud)
</li><li>AI Enablement: Familiarity with GenAI, LLMs, Machine Learning, Python
</li><li>Demo Innovation: Hands-on capability with Oracle Data Integrator, Python, Oracle Analytics/ Fusion Data Intelligence for creating impactful demos.
</li><li>Enterprise Architecture: Ability to design hybrid/multi-cloud architectures with scalability, security, and compliance in mind.
</li><li>Collaboration: Proven ability to work across sales, consulting, and product engineering teams in highly distributed environments.
</li>Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage. 
<li>
</li></ul><div></div>Qualifications &amp; Experience
<ul><li>8+ years of IT/solution architecture experience with at least 4 years in Data integration, warehousing and analytics.
</li><li>3&ndash;5 years of solutioning exposure, with practical experience in demos, POCs, or customer workshops.
</li><li>Familiarity with Oracle Cloud Infrastructure (OCI), Oracle Data Integration, Oracle Analytics/Fusion Data Intelligence, and multi-cloud ecosystems.
</li><li>Familiarity or experience with products like Databricks, Microsoft Fabric
</li><li>Excellent written and verbal communication skills, with experience influencing both technical and business leaders.</li></ul></div>
 <div>Customer Engagement &amp; Delivery
<ul><li>Lead customer workshops, demos, and RFP solutioning, translating business pain points into datalake solutions and AI-enabled use cases.
</li><li>Articulate Oracle&rsquo;s AI Data Platform, Analytics and AI solutions to business and IT stakeholders.
</li><li>Lead solutioning to deliver compelling demo assets.
</li></ul>Solution Architecture &amp; Design
<ul><li>Design and propose modern data and analytics architectures&mdash;spanning data lakes, lakehouses, and enterprise applications&mdash;integrating Oracle SaaS, on-prem, and third-party systems using contemporary integration patterns, while incorporating selective AI capabilities such as vector search, RAG, and intelligent automation where they add business value.
</li><li>Provide design decisions, estimates, and staffing/schedule inputs for customer pursuits.
</li></ul>Technical Thought Leadership
<ul><li>Contribute to best practices through blogs, whitepapers, and reusable Delivery assets.
</li><li>Actively participate in Oracle technology forums and represent the Data and Analytics portfolio in external events.
</li><li>Mentor junior solution engineers in Delivery methodologies and demo storytelling.</li></ul></div>

Data and Analytics Architect

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